Data Governance For Dummies (eBook)

Jonathan Reichental (Autor)

eBook Download: PDF

2022 | 1. Auflage
291 Seiten
Wiley (Verlag)
978-1-119-90678-0 (ISBN)

Infos

How to build and maintain strong data organizations—the Dummies way

Data Governance For Dummies offers an accessible first step for decision makers into understanding how data governance works and how to apply it to an organization in a way that improves results and doesn't disrupt. Prep your organization to handle the data explosion (if you know, you know) and learn how to manage this valuable asset. Take full control of your organization’s data with all the info and how-tos you need. This book walks you through making accurate data readily available and maintaining it in a secure environment. It serves as your step-by-step guide to extracting every ounce of value from your data.

• Identify the impact and value of data in your business
• Design governance programs that fit your organization
• Discover and adopt tools that measure performance and need
• Address data needs and build a more data-centric business culture

This is the perfect handbook for professionals in the world of data analysis and business intelligence, plus the people who interact with data on a daily basis. And, as always, Dummies explains things in terms anyone can understand, making it easy to learn everything you need to know.

Inhalt

Title Page 3
Copyright Page 4
Table of Contents 7
Introduction 13
About This Book 13
Foolish Assumptions 15
Icons Used in This Book 15
Beyond the Book 16
Where to Go from Here 16
Part 1 Data Everywhere 17
Chapter 1 Defining Data Governance 19
Understanding Data Governance 20
What is meant by governance? 20
What is data governance? 22
Data governance versus data management 23
Data governance versus information governance 23
The value of data governance 23
Creating a data governance program 25
Developing a Data Governance Framework 26
Leadership and strategy 27
Roles and responsibilities 28
Policies, processes, and standards 28
Metrics 28
Tools 29
Communications and collaboration 29
Preparing for Data Governance 29
What is data culture? 30
Assessing the data culture 30
Maturing the data culture 31
Assessing data governance readiness 32
Chapter 2 Exploring a World Awash in Data 35
Defining Data 36
What’s all the fuss about data? 36
Welcome to the zettabyte era 37
From data to insight 39
The Role of Data in the 21st Century 41
Data-driven decision-making 42
Data as the new oil 43
Data ownership 43
Data architecture 44
The lifecycle of data 45
Data quality matters 46
Understanding the Impact of Big Data 47
Defining big data 48
The drivers of big data 49
Consequences of big data 50
What about small data? 50
Here comes smart data 51
Chapter 3 Driving Value through Data 53
Identifying the Roles of Data 53
Operations 54
Strategy 55
Decision-making 56
Measuring 56
Monitoring 57
Insight management 58
Reporting 59
Other roles for data 60
Improving Outcomes with Data 61
Approaching data as an asset 61
Data analytics 63
Data management 64
Governing data 65
Chapter 4 Transforming through Data 67
Examining the Broader Value of Data 68
Data catalogs 69
From data to insights 73
Data analytics 74
Data monetization 76
Data-driven decision making 77
Developing a Data Strategy for Improved Results 80
Why every organization needs a data strategy 80
Creating a data strategy 82
Managing and monitoring your data strategy 85
Part 2 Delivering Data Governance 87
Chapter 5 Building the Business Case for Data Governance 89
Identifying the Business Case for Data Governance 90
Drivers of change 91
Supporting governance, compliance, and risk 92
Improving the financial bottom line 95
Other arguments for supporting a data governance program 96
Creating a Data Governance Strategy Proposal 96
Involving the right stakeholders 96
Documenting and delivering the business case 98
Considering and presenting costs 100
Chapter 6 Focusing on the Fundamentals of Data Governance 103
Establishing Basic Approaches to Data Governance 104
Transparency 104
Accountability 105
Standardization 106
Change management 108
Examining Where Data Governance Brings Value 109
Privacy 110
Availability 110
Usability 111
Consistency 112
Compliance 112
Security 112
Integrity 114
Business intelligence 115
Quality 115
Part 3 Developing Data Governance 117
Chapter 7 Establishing Data Governance Objectives 119
Defining an Organization’s Priorities 120
Alignment with organizational needs 120
Ensuring inclusiveness 123
Determining the Desired Outcomes 124
Understanding and achieving program success 124
Agreeing on a desired maturity level 128
Level 1: Initial 130
Level 2: Aware 130
Level 3: Defined 130
Level 4: Proactive 130
Level 5: Optimized 131
Chapter 8 Identifying Data Governance Roles and Responsibilities 133
Exploring Roles and Responsibilities in Data Governance 134
Data governance manager 135
Data owner 137
Data steward 138
Data custodian 139
Roles of the chiefs in data governance 140
Chief Executive Officer (CEO) 141
Chief Data Officer (CDO) 142
Chief Compliance Officer (CCO) 143
Chief Information Officer (CIO) 144
Chief Information Security Officer (CISO) 145
Creating Data Governance Leadership Groups 146
Data Stewardship Council (DSC) 146
Data Governance Council (DGC) 148
Data Governance Program Office (DGPO) 149
Chapter 9 Designing a Data Governance Program 151
Analyzing Stakeholder Needs 152
Identifying data governance stakeholders 152
Analysis techniques for data governance programs 153
Understand the business strategy 154
Identify data assets 154
Conduct a risk analysis 155
Collect stakeholder requirements 156
Tips for requirements gathering 157
The role of data modeling 158
Knowledge graphs 160
Developing Policies and Procedures 162
Designing policies and procedures 163
Creating policies and procedures 164
Designing a policy document 165
Chapter 10 Deploying a Data Governance Program 169
Implementing a Data Governance Program 170
Change management 171
Change management for data changes 173
Announcing the program 175
Formalize the communications function 177
Preview the program 178
Use a variety of channels 178
Utilize many voices 178
Provide examples of benefits 179
Use clear language 179
Quick communication tips 179
Clarity and simplicity 179
Positivity and relevancy 180
Consistency and repetition 180
Creativity and playfulness 180
Providing training 180
Using Data Governance Across the Enterprise 183
The role of data governance in organizational functions 183
Executive suite and general management 184
Sales 184
Marketing 185
Human resources 186
Information technology 187
Finance 188
Other departments 188
Data governance in emerging technologies 189
Digital transformation 189
Artificial intelligence 190
Internet of Things (IoT) 191
Blockchain 192
Part 4 Democratizing Data 195
Chapter 11 Running a Successful Data Governance Program 197
Managing the Day-to-Day of a Data Governance Program 198
Ongoing program communications 199
Reporting on status 201
Continuous improvement 203
The PDCA framework 204
Resolving data definition disputes 205
Master data management 207
Reference data 208
Automating a Data Governance Program 210
Software tools for data governance 211
Selecting data governance tools 211
DataOps 213
DataGovOps 215
Cloud data governance 218
Chapter 12 Measuring and Monitoring a Data Governance Program 221
Identifying Ways to Measure Program Success 222
Determining the right performance indicators 222
Data quality 224
Strategic alignment 225
Governance 225
People 226
Technology 226
Building a management dashboard 227
Management dashboard best practices 228
Using a management dashboard 228
Using a data governance balanced scorecard 229
Deploying Monitoring Processes 230
The role of monitoring in data governance 230
Deciding what to monitor 231
Data quality 231
Compliance 232
Data governance program 232
Data lineage 232
Cybersecurity 233
Automating monitoring 233
Enforcing data governance 234
Garnering support for the program 235
Communication 235
Documentation 236
Metrics 236
Continuous improvement 237
Chapter 13 Responding to Data Governance Challenges and Risks 239
Exploring the Complexities of Data Governance 240
Data governance is hard 240
Insufficient leadership and organizational support 241
Too much (or too little ambition) at the start 242
Poor communications and change management 242
Data challenges 243
Data governance is easy 244
Data governance is already happening 244
Big returns for low investment 245
Even small steps can produce results 246
Leaders and teams are more motivated than they appear 246
Anticipating Ongoing Program Risks and Challenges 247
Areas of data governance maintenance 247
Staffing 248
Ongoing communications 248
Aligning data strategy with data governance 248
Current regulations and policies 249
Problem management 249
Periodic program reviews 250
The evolving data landscape 250
People 251
Process 252
Technology 252
Part 5 The Part of Tens 255
Chapter 14 Ten Data Governance Best Practices 257
Start Small and Progressively Build Your Program 258
Ensure the Program Is Aligned with the Interests of the Organization 259
Get Your Leaders to Advocate for the Program’s Success 259
Begin the Change Management Process Early 260
Establish Meaningful Metrics 261
Create Abundant Learning Opportunities for Team Members 262
Communicate Early and Often 263
Remind Stakeholders This Is a Program, Not a Project 264
Focus on People and Behaviors 265
Understand What Data Matters to the Organization 266
Chapter 15 Ten Essential Data Governance Stakeholders 267
Data Owner 268
Data Steward 268
Data Custodian 269
Data User 269
Data Governance Manager 270
Chief Data Officer (CDO) 271
Chief Information Officer (CIO) 271
Chief Executive Officer (CEO) 272
Data Governance Council (DGC) 272
Data Governance Program Office (DGPO) 273
Index 275
EULA 291

Produkt-Details

• Erscheint lt. Verlag: 26.10.2022
• Sprache: englisch
• Themenwelt: Technik ► Bauwesen
• ISBN-10: 1-119-90678-4 / 1119906784
• ISBN-13: 978-1-119-90678-0 / 9781119906780